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Face Identification
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Face identification is the task of matching a given face image to one in an existing database of faces. It is the second part of face recognition (the first part being detection). It is a one-to-many mapping: you have to find an unknown person in a database to find who that person is.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network
Additional Baseline Metrics for the paper "Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification"
Support Vector Guided Softmax Loss for Face Recognition
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
Pairwise Relational Networks using Local Appearance Features for Face Recognition
Unique Identification of Macaques for Population Monitoring and Control
A Fast and Accurate System for Face Detection, Identification, and Verification
A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the Wild
Pairwise Relational Networks for Face Recognition
Multicolumn Networks for Face Recognition
Git Loss for Deep Face Recognition
Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques
Task-dependent modulation of the visual sensory thalamus assists visual-speech recognition
A Deep Face Identification Network Enhanced by Facial Attributes Prediction
Exploring Disentangled Feature Representation Beyond Face Identification
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
Ring loss: Convex Feature Normalization for Face Recognition
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis
CosFace: Large Margin Cosine Loss for Deep Face Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Additive Margin Softmax for Face Verification
Basic Thresholding Classification
Memory Based Online Learning of Deep Representations from Video Streams
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition
Group-level Emotion Recognition using Transfer Learning from Face Identification
Disguised Face Identification (DFI) with Facial KeyPoints using Spatial Fusion Convolutional Network
FacePoseNet: Making a Case for Landmark-Free Face Alignment
Unconstrained Face Detection and Open-Set Face Recognition Challenge
Focal Loss for Dense Object Detection
One-shot Face Recognition by Promoting Underrepresented Classes
Toward Open-Set Face Recognition
SphereFace: Deep Hypersphere Embedding for Face Recognition
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